Distributed Prioritized Experience Replay

2 March 2018

Dan Horgan

David Budden

David Silver

Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown

Title
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 27 0 0 05 Oct 2023
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform Shengyi Huang Jiayi Weng Rujikorn Charakorn Min-Bin Lin Zhongwen Xu Santiago Ontañón 12 3 0 29 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 17 5 0 28 Sep 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games Kuo-Hao Ho Ping-Chun Hsieh Chiu-Chou Lin You-Ren Luo Feng-Jian Wang I-Chen Wu 24 0 0 27 Sep 2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning Yitian Shi Philipp Schillinger Miroslav Gabriel Alexander Kuss Zohar Feldman Hanna Ziesche Ngo Anh Vien OffRL OnRL 21 4 0 21 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning Dejan Grubisic Bram Wasti Chris Cummins John Mellor-Crummey A. Zlateski 27 0 0 04 Sep 2023
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles A. H. Kolling V. A. Kich J. C. Jesus Andressa Cavalcante da Silva Ricardo B. Grando Paulo L. J. Drews-Jr D. T. Gamarra 16 3 0 01 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 22 6 0 29 Aug 2023
Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search Hong-Peng Zhang 23 1 0 28 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi Hadi Nekoei Xutong Zhao Janarthanan Rajendran Miao Liu Sarath Chandar 15 4 0 20 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 31 0 0 28 Jul 2023
Thinker: Learning to Plan and Act Stephen Chung Ivan Anokhin David M. Krueger LLMAG OffRL LRM 30 5 0 27 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 18 0 0 11 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 49 263 0 29 Jun 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores Zhiyu Mei Wei Fu Jiaxuan Gao Guang Wang Huanchen Zhang Yi Wu OffRL LRM 24 5 0 29 Jun 2023
Training Deep Surrogate Models with Large Scale Online Learning Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin 3DGS AI4CE 22 4 0 28 Jun 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 23 10 0 28 Jun 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting Zhang-Wei Hong Pulkit Agrawal Rémi Tachet des Combes Romain Laroche OffRL 29 17 0 22 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 32 5 0 13 Jun 2023
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks Pablo Soldati E. Ghadimi Burak Demirel Yu Wang Raimundas Gaigalas Mathias Sintorn 11 3 0 09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 30 20 0 08 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit Xinhang Li Yiying Yang Zheng Yuan Zhe Wang Qinwen Wang Chen Xu Lei Li Jianhua He Lin Zhang 18 2 0 08 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 22 37 0 01 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 18 13 0 31 May 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm Yunhao Tang Tadashi Kozuno Mark Rowland A. Harutyunyan Rémi Munos Bernardo Avila-Pires Michal Valko 11 0 0 29 May 2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation Hikaru Asano Ryo Yonetani Mai Nishimura Tadashi Kozuno 35 0 0 19 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 38 7 0 10 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity Jinghao Xin Jinwoo Kim Zehan Li Ning Li OffRL 26 3 0 07 May 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 28 6 0 19 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 28 2 0 23 Mar 2023
Real-time scheduling of renewable power systems through planning-based reinforcement learning Shao-Wei Liu Jinbo Liu Weirui Ye Nan Yang Guanglu Zhang ... C. Kang Qirong Jiang Xuri Song Fangchun Di Yang Gao 39 4 0 09 Mar 2023
Hierarchical Reinforcement Learning in Complex 3D Environments Bernardo Avila-Pires Feryal M. P. Behbahani Hubert Soyer Kyriacos Nikiforou Thomas Keck Satinder Singh OffRL 16 0 0 28 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols Luca Giacomoni Basil Benny G. Parisis 22 3 0 09 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z Leibo 26 2 0 02 Feb 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks Christopher W. F. Parsonson Zacharaya Shabka Alessandro Ottino G. Zervas 31 0 0 31 Jan 2023
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 2023
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets Peer Nagy Jan-Peter Calliess S. Zohren 21 3 0 20 Jan 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 34 13 0 05 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies M. Wolk A. Applebaum Camron Dennler P. Dwyer M. Moskowitz ... N. Nichols Nicole Park Paul Rachwalski Frank Rau A. Webster OffRL AAML 24 17 0 28 Nov 2022
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning Hongjie Zhang OffRL 13 0 0 28 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control Xiaoyu Wang Scott Sanner Baher Abdulhai 9 5 0 26 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 28 0 0 23 Nov 2022
Reinforcement learning for traffic signal control in hybrid action space Haoqing Luo Sheng Jin 32 7 0 23 Nov 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin Vladislav Kurenkov Denis Tarasov Dmitry Akimov Sergey Kolesnikov OffRL 25 14 0 20 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 23 2 0 08 Nov 2022
Progress and summary of reinforcement learning on energy management of MPS-EV Jincheng Hu Yang Lin Liang Chu Zhuoran Hou Jihan Li Jingjing Jiang Yuanjian Zhang 18 11 0 08 Nov 2022
Achieving mouse-level strategic evasion performance using real-time computational planning German Espinosa Gabrielle E. Wink Alexander T. Lai D. Dombeck M. A. MacIver 11 2 0 04 Nov 2022